Author(s)

Junsheng Wang, Shaozhen Chen, Bo Wang, Ke Yang

Corresponding Author

Junsheng Wang

ABSTRACT

Gold is a very important financial asset. This paper briefly describes the price influencing factors in gold forecasting and the basic principles of support vector regression algorithm. The support vector regression algorithm and BP neural network are used to predict the gold price. Finally, we obtain the prediction of support vector regression algorithm. The effect is better than that of the BP neural network. The prediction error of the support vector regression algorithm in the sample is much smaller than the prediction error of the BP neural network algorithm in the sample, which provides guidance for the gold price forecast.

KEYWORDS

Gold price, support vector regression, BP neural network